All models exhibit an increasing trend in accuracy and a decreasing trend in loss as the number of epochs increases, which is expected during the training process.
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Multiple model visual feature embedding and selection method for an efficient oncular disease classification.
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Similar to DenseNet201, the values do not show a clear trend, implying that the model’s performance remained relatively stable throughout the training process.